The following is the Amazon cloud technology launches three new database functions recommended by recordtrend.com. And this article belongs to the classification: Industry information.
Amazon rdscustomer hosted service, which can be used by customers for business applications that need to customize databases and operating systems.
Amazon dynamodb standard infinite access (standard-ia) table classification can reduce the cost of dynamodb tables storing infrequently accessed data by up to 60%.
With the help of machine learning, Amazon Devops gurufor RDS can detect, diagnose and solve difficult database performance related problems in just a few minutes without days
Customers such as Mercado Libre, NetApp and Amazon have begun to use the new features of the database
Beijing – on December 9, 2021, Amazon cloud technology announced the launch of three database functions at the 2021 re: invent global conference, so that customers can more easily and economically expand and run database services according to their business needs. The newly released functions include: managed database service for customer business applications, and customers can customize the underlying database and operating system; Amazon dynamodb table classification that reduces the cost of infrequently accessing data storage; And new services that use machine learning to better diagnose and repair database related performance problems. These innovations make it easier and more economical for customers to manage data on a large scale.
As more and more applications need to process Pb level or even EB level data with low latency and high performance, a single general database can not meet the needs of customers who want to use and manage data on a large scale in a highly available, reliable and high-performance way. Therefore, more and more customers are looking for a suitable database to meet their unique needs. Amazon cloud technology provides extensive and in-depth specially built database services, including key / value database service Amazon dynamodb, graph database service Amazon Neptune, memory database service Amazon elasticcache and Amazon memorydb, document database service Amazon documentdb, wide column database service Amazon keyspace (compatible with Apache Cassandra), Time series database service Amazon timestream, ledger database service Amazon quantum ledger database (Amazon qldb). Amazon cloud technology is the best place to run open source databases. More than 100000 customers choose Amazon aurora. Amazon aurora is fully compatible with MySQL and PostgreSQL, and can enjoy its high performance and availability at the cost of one tenth of the cost of traditional commercial databases. Many customers also choose to run commercial databases on Amazon cloud technology to take advantage of the excellent scalability, security and elasticity of cloud services. The fully hosted relational database service Amazon relational database service (Amazon RDS) allows users to easily set up, operate and expand Oracle and Microsoft SQL Server Databases in the cloud. Amazon cloud technology has more than 15 specially built database services, so that customers can complete their work with the most appropriate tools, and has high availability, high performance, reliability and security. The three database functions launched this time provide customers with more choices and higher cost performance.
Raju gulabani, vice president of Amazon cloud technology database and analysis, said: “Customers want to use specially optimized database services for their important application scenarios, so as to provide a flexible, scalable and reliable user experience without investing a lot of resources and additional costs in the management infrastructure. We are glad to provide customers with more flexibility and choices through this newly released database function to achieve higher performance And more optimized cost to support customers’ most critical business applications. The database services provided by Amazon cloud technology are unmatched in both depth and breadth, and we continue to innovate for customers. “
The fully managed database service Amazon RDS custom allows customers to customize the database and operating system of business applications
Amazon RDS is easy to deploy, operate and expand, so it has become the choice for customers who want to run commercial databases such as Oracle and Microsoft SQL Server on the cloud. Customers using Amazon RDS can save time-consuming management tasks such as configuring capacity, expanding and backing up data. However, some business applications need to customize the underlying Oracle and Microsoft SQL Server database environment and operating system (such as Microsoft Dynamics AX, Microsoft SharePoint and Oracle PeopleSoft). In order to fully control the underlying database environment and operating system, customers usually need to run these applications in their own environment (such as Amazon EC2 or local). Although the self built method brings a high degree of configurability, at the same time, customers need to spend time on management tasks such as hardware configuration, database deployment, patch and backup. What these customers who need custom databases and operating systems really need is to be able to automate indiscriminate management tasks and run these applications more easily on Amazon cloud technology.
Amazon RDS custom can automatically deploy, operate and expand Oracle and Microsoft SQL Server Databases closely integrated with common business applications, and customize the underlying database and operating system of business applications. Through Amazon RDS custom, customers running such business applications do not have to worry about time-consuming management tasks, such as hardware configuration and expansion, database deployment, patch and backup. Customers can use Amazon RDS custom to configure their database environment and underlying operating system, modify settings, install custom patches, and integrate third-party software to meet the needs of their business applications (such as custom database miniversion, third-party security and diagnostic software, or special file system configuration). Amazon RDS custom automatically monitors the database environment and operating system, and detects user configurations that affect the performance of Amazon RDS custom. Once a problem is found, Amazon RDS custom will try to solve it automatically. For configuration errors that cannot be automatically repaired, Amazon RDS custom will notify the customer and provide recommended solution steps. Customers can easily migrate Oracle and Microsoft SQL server databases that need to be customized to Amazon RDS custom, eliminating the tedious task of managing the database themselves. To start using Amazon RDS custom, please visit AWS amazon. com/rds/custom。
Amazon dynamodb standard infinite access (standard-ia) table classification can reduce the cost of dynamodb tables storing infrequently accessed data by up to 60%
Amazon dynamodb can provide high throughput and consistent millisecond response time at almost any scale without managing servers or clusters. It has become the choice for customers to deal with high-capacity NoSQL workload. As dynamodb workload patterns become more diversified, in some customer workloads, data storage becomes the main cost, while some less accessed data needs to be able to respond quickly. For example, for previous social media posts, E-Commerce orders and video game scores, the data capacity of these scenes continues to grow over time, which will generate a lot of storage costs, but these data still need high throughput and need to be available immediately when requested. In order to optimize the storage cost in these scenarios, customers will write code to move old and less frequently accessed data from dynamodb to a lower cost storage alternative (such as Amazon S3).
Customers use the New Amazon dynamodb standard infrared access (standard-ia) table classification, which can reduce the cost of dynamodb tables storing infrequently accessed data by up to 60%. The storage cost of dynamodb standard-ia table classification is up to 60% lower than that of standard dynamodb table. It is the most cost-effective choice for the table whose storage cost accounts for the main cost. In contrast, with the same throughput, the cost of dynamodb standard table classification is up to 20% lower than that of standard-ia table classification. It is still a more cost-effective choice for the table whose throughput accounts for the main cost. Customers can switch between Amazon dynamodb standard and dynamodb standard-ia table classes without affecting table performance or changing code to optimize the expenditure of the data types they store. To start using the dynamodb standard ia table class, visit AWS amazon. com/dynamodb/standard-ia。
With machine learning, Amazon Devops guru for RDS can better detect, diagnose and solve difficult database performance problems and provide suggestions in just a few minutes without days
Amazon Devops guru is a machine learning enabled service that makes it easier for developers to improve application availability by automatically detecting problems and recommending specific remedies. At present, Amazon Devops guru will remind customers of problems with Amazon RDS engine. However, determining the exact cause of database related problems is complex and time-consuming. In order to determine the cause of the problem, it is usually necessary to recruit database administrators to run diagnostic tools and queries manually. Once the cause of the problem is determined, the database administrator needs to conduct additional analysis to fully understand the problem (such as analyzing database specific indicators, events and waiting conditions or extracting and analyzing relevant SQL statements) before providing guidance on how to repair the problem. Therefore, it usually takes hours or days to discover and remedy database problems, which may affect application availability or reduce the user experience.
Amazon Devops guru for RDS is a new feature of Amazon Devops guru supported by machine learning. It can automatically detect and diagnose performance bottlenecks and operation problems in the database, and provide detailed repair suggestions, so that developers can solve problems in minutes rather than days. Amazon Devops guru for RDS detects database related problems based on Amazon Devops guru, covering other performance related problems in Amazon RDS (such as excessive resource usage and incorrect SQL query behavior). Amazon Devops guru for RDS helps customers quickly solve database related performance and usage problems. It can immediately notify developers when problems occur, and provide root cause diagnosis information, problem details and intelligent repair suggestions. For example, if an application performance problem related to the unexpected high load of the database is detected, Amazon Devops guru for RDS will conduct root cause analysis, find the exact SQL statement causing the problem, send a notice containing the cause and impact scope of the problem, and suggest corrective measures to help customers solve the problem quickly. Amazon Devops guru for RDS currently supports Amazon aurora and plans to support other Amazon RDS database services in 2022. To start using Amazon Devops guru for RDS, please visit AWS amazon. com/devops-guru/features/devops-guru-for-rds。
Mercado Libre is a leading technology company in the field of e-commerce in Latin America. “Although users don’t often view their past orders, they want to have access to past orders, reordered goods and product information whenever they need it.” Oscar Mullin, director of core IT services and head of SRE and DBA at Mercado Libre, said: “storing data infrequently accessed by users through Amazon dynamodb standard-ia will help us greatly save costs and give us the same high performance, accessibility and reliability as Amazon dynamodb.”
NetApp is a cloud led and data centric software company, which allows enterprises to freely use data in their applications and improve their business. Ronen Schwartz, senior vice president and general manager of NetApp cloud volumes, said: “NetApp provides cloud services, enabling enterprises to easily migrate from local to cloud and run efficient and cost-effective relational databases and operation projects. However, enterprises that need to customize the underlying database environment and operating system cannot migrate to fully hosted database services in the cloud. Through Amazon RDS custom, these enterprises can now customize their operations Provide managed database services for system and database applications. Enterprises can run Amazon RDS custom on NetApp OnTap to obtain advanced data protection, higher efficiency and continuous optimization. “
Amazon fulfillment technologies designs, develops and operates logistics technology solutions for Amazon operations centers, including automation Amazon robotics worldwide. “My team manages a large fleet database. Amazon Devops guru for RDS can help us identify performance anomalies beyond the monitoring threshold range without being too noisy.” Brent bigonger, chief Database Engineer of Amazon operations technology, said: “Amazon Devops guru for RDS’s machine learning driven insight, as an early warning system, enables us to quickly detect, diagnose and repair performance related problems.”
Singular simplifies marketing data by unifying decentralized data, applying attribution, and revealing insights that accelerate growth. “At singular, we capture, analyze and refine billions of data points to provide our customers with the most accurate, timely and operational cross platform analysis. Even if the data is not commonly used, it needs to be immediately accessible, which is important to provide customers with the best insights to grow their business quickly.” Ofir NIR, director of singular data infrastructure, said: “Amazon dynamodb standard-ia table classification can simplify our management and access to long-term data storage. At the same time, it has the performance, durability and data availability of Amazon dynamodb. It will help us further optimize costs and provide our customers with a better user experience.”
NTT DoCoMo is a leading mobile operator in Japan. Chikara Mitsui, senior manager of NTT DoCoMo service design department, “We manage 45 independent applications for customers and NTT DoCoMo’s internal teams. These teams provide basic components for NTT DoCoMo’s public services and business applications of company employees. We are happy to use Amazon Devops guru for RDS to quickly detect, diagnose and repair various performance problems related to databases with machine learning driven insight. Amazon Devops Gu Ru provides a single insight into our application stack, enabling our team to focus on building more reliable services rather than investigating O & M issues. “
Delphix provides an automated Devops data platform to desensitize data for privacy compliance, protect data from blackmail software, and provide efficient virtual data for continuous integration / continuous development (CI / CD) and digital transformation. Jason GRAUEL, vice president of product management of delphix, said, “through Amazon RDS custom, delphix customers can accelerate the migration of databases to managed services and eliminate the data related problems that slow down the development of applications. Now, customers can test the data to ensure that it is synchronized with the Devops of the express and gain the operational advantages of Amazon RDS custom automation.” More reading: DB engines: June 2019 global database ranking Amazon cloud technology accelerated database service was launched in China. Amazon cloud technology launched three new Amazon EC2 instances supported by self-developed chips. DB engines: July 2018 global database ranking DB engines: March 2018 database ranking Amazon cloud technology launched Amazon EBS io2 block express storage volume Cloud technology re: invent has ushered in the 10th anniversary. The future technologies of cloud industries such as computing, Internet of things, 5g and no server are all new. Amazon cloud technology intelligent Lake Warehouse Architecture: an overall solution for data services from cloud to real-time decision-making. Amazon cloud technology launched “intelligent Lake warehouse” The architecture added nearly 40 related services and features in China in half a year. DB engines: database popularity ranking in December 2013 DB engines: global database ranking SQLite in February 2020 ranked among the top 10 dB engines: global database ranking in September 2018 Amazon EC2 x2gd with self-developed processor Amazon graviton2 was fully available. Amazon cloud technology announced the official launch of Amazon nimble studio The image content studio can be built on the cloud in just a few hours. The Amazon graviton2 instance equipped with a self-developed processor landed in China. Amazon cloud technology is rich in ecological diversity
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